AIASys Data Tools Guide

Provide standardized usage guidelines for AIASys data analysis tools.

21|12|Updated May 17, 2026
One-click install
npx skills add https://github.com/AIAsys/AIASys --skill aiasys-data-tools-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: AIASys Data Tools Guide
Source: https://github.com/AIAsys/AIASys/tree/main/apps/backend/skills/builtin/aiasys-data-tools-guide-skill
Command: npx skills add https://github.com/AIAsys/AIASys --skill aiasys-data-tools-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the lack of standardized operational guidelines for data analyst sub-agents when using AIASys's built-in data tools, preventing incorrect operations, reducing task errors, and improving analysis efficiency.

Core Features & Use Cases

  • Full-scope tool coverage: Provides usage specifications for database access, knowledge base querying and management, knowledge graph entity and relation operations, multi-dimensional table CRUD, and Canvas view maintenance.
  • Practical use case: When a data analyst needs to query a mounted external database, search for related entities in a knowledge graph, or record structured analysis results in a multi-dimensional table, this skill offers clear operation steps and constraint rules to avoid common mistakes such as incorrect handle specification or unauthorized write operations.

Quick Start

Load this skill when your data analysis task involves operating AIASys databases, knowledge bases, knowledge graphs, multi-dimensional tables, or Canvas tools to obtain standardized usage instructions.

Frequently Asked Questions about AIASys Data Tools Guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize data analysis tool operations to prevent unauthorized writes and incorrect handle specification?

To standardize data analysis tool operations, you need standardized usage guidelines that define operation constraints, invocation examples, and security rules for database access, knowledge graph operations, and multi-dimensional table CRUD to eliminate operational errors.

What are the standard steps for querying a mounted external database and recording results in a multi-dimensional table?

Standard steps for querying a mounted external database and recording results involve following defined operation constraints and invocation examples for database access and multi-dimensional table CRUD to ensure compliant and efficient tool usage.

How do I manage knowledge base querying and knowledge graph entity operations without causing task errors?

To manage knowledge base querying and knowledge graph entity operations without task errors, apply standardized usage specifications that provide clear operation steps and security rules for knowledge graph entity and relation operations.

Can I use AIASys built-in data tools for Canvas view maintenance and knowledge graph operations in research scenarios?

Yes, you can use AIASys built-in data tools for Canvas view maintenance and knowledge graph operations in research scenarios, as the guidelines cover database access, knowledge base management, and Canvas view maintenance for compliant and efficient tool usage.

Why does my data analyst sub-agent make incorrect operations during database and knowledge base tasks?

Data analyst sub-agents make incorrect operations during database and knowledge base tasks due to the lack of standardized operational guidelines, which this skill resolves by providing clear operation steps and constraint rules for each tool category.

What are the limitations and security rules when performing multi-dimensional table CRUD and Canvas view maintenance?

Limitations and security rules for multi-dimensional table CRUD and Canvas view maintenance include defined operation constraints and security rules to prevent unauthorized write operations and avoid common mistakes like incorrect handle specification.